An efficient COVID-19 detection from CT images using ensemble support vector machine with Ludo game-based swarm optimisation-Reference-Cited by-同舟云学术

An efficient COVID-19 detection from CT images using ensemble support vector machine with Ludo game-based swarm optimisation

Published:2022-01-24 Issue:6 Volume:10 Page:675-686
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Irene D Shiny¹,Beulah J. Rene¹,K. Anitha²,K. Kannan³

Affiliation:

1. Department of Computing Technologies, School of Computing, College of Engineering and Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, TN, India

2. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha nagar, Thandalam, Chennai, Tamil Nadu, India

3. Department of Electronics and Communication Engineering, R.M.K College of Engineering And Technology, R.S.M. Nagar, Puduvoyal, Gummidipoondi (TK), Thiruvallur (DT), Tamilnadu, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2021.2024088

Reference44 articles.

1. A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy

2. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter

3. CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

4. Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

5. Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble

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